Coverart for item
The Resource Data scientists at work, Sebastian Gutierrez

Data scientists at work, Sebastian Gutierrez

Label
Data scientists at work
Title
Data scientists at work
Statement of responsibility
Sebastian Gutierrez
Creator
Author
Subject
Language
eng
Summary
Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees? earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients
Cataloging source
N$T
http://library.link/vocab/creatorName
Gutierrez, Sebastian
Dewey number
519.50285
Illustrations
illustrations
Index
index present
LC call number
QA276.4
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Statistics
  • Statisticians
  • Computer scientists
  • MATHEMATICS
  • MATHEMATICS
  • Computer scientists
  • Statisticians
  • Statistics
Label
Data scientists at work, Sebastian Gutierrez
Instantiates
Publication
Distribution
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Chapter 1: Chris Wiggins, The New York Times -- Chapter 2: Caitlin Smallwood, Netflix -- Chapter 3: Yann LeCun, Facebook -- Chapter 4: Erin Shellman, Nordstrom -- Chapter 5: Daniel Tunkelang, LinkedIn -- Chapter 6: John Foreman, MailChimp -- Chapter 7: Roger Ehrenberg, IA Ventures -- Chapter 8: Claudia Perlich, Dstillery -- Chapter 9: Jonathan Lenaghan, PlaceIQ -- Chapter 10: Anna Smith, Rent the Runway -- Chapter 11: André Karpištšenko, Planet OS -- Chapter 12: Amy Heineike, Quid -- Chapter 13: Victor Hu, Next Big Sound -- Chapter 14: Kira Radinsky, SalesPredict -- Chapter 15: Eric Jonas, Neuroscience Research -- Chapter 16: Jake Porway, DataKind -- Index -- Foreword / Peter Norvig -- About the Author -- Acknowledgments
Control code
898213719
Dimensions
unknown
Extent
1 online resource (xi, 364 pages)
File format
unknown
Form of item
online
Isbn
9781430265993
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4302-6599-3
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000538
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)898213719
Label
Data scientists at work, Sebastian Gutierrez
Publication
Distribution
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Chapter 1: Chris Wiggins, The New York Times -- Chapter 2: Caitlin Smallwood, Netflix -- Chapter 3: Yann LeCun, Facebook -- Chapter 4: Erin Shellman, Nordstrom -- Chapter 5: Daniel Tunkelang, LinkedIn -- Chapter 6: John Foreman, MailChimp -- Chapter 7: Roger Ehrenberg, IA Ventures -- Chapter 8: Claudia Perlich, Dstillery -- Chapter 9: Jonathan Lenaghan, PlaceIQ -- Chapter 10: Anna Smith, Rent the Runway -- Chapter 11: André Karpištšenko, Planet OS -- Chapter 12: Amy Heineike, Quid -- Chapter 13: Victor Hu, Next Big Sound -- Chapter 14: Kira Radinsky, SalesPredict -- Chapter 15: Eric Jonas, Neuroscience Research -- Chapter 16: Jake Porway, DataKind -- Index -- Foreword / Peter Norvig -- About the Author -- Acknowledgments
Control code
898213719
Dimensions
unknown
Extent
1 online resource (xi, 364 pages)
File format
unknown
Form of item
online
Isbn
9781430265993
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4302-6599-3
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000538
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)898213719

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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